Hi Marketing Friends,
I've got a scenario for you that probably sounds familiar. Setting up email nurture or automation flows. You spend a solid afternoon building a workflow...you get your triggers set, sequences mapped, audience targets ready to flow, copy built out. You hit save, test it, and it runs perfectly. Then three weeks later, the market shifted, a segment changed, a competitor did something unexpected, and your 1:1 with your boss now has you moving in a new direction. However, that automated workflow kept running exactly as you built it. But now, it's no longer relevant.
Now the copy has to be rewritten, rebuilt and relaunched, and the three weeks of data collected is relevant, but not substantial enough to provide insights, especially with the impending shifts. For small marketing teams and fractional marketers carrying an already impossible workload, that change in direction, and incremental lift is heavy enough that late evenings and weekend hours have to get logged in order to launch the new campaign, while it's relevant.
Let's do a quick gut check on what Marketing Automation actually is
In the truest form marketing automation is if/then logic, but at scale. A lead fills out a form, and they enter a drip sequence based on the actions they took prior to filling out the form. The nurture is deployed, at the timing you set up, and eventually, hopefully, a lead score crosses a threshold, and a sales alert arises. Another example of automation: a social post gets built and scheduled, so it publishes at 10am Tuesday regardless of what happened Monday night.
Don't get me wrong, automation is genuinely useful. I have been using it for decades and have used many many tools that have done it well and not so well. Drip campaigns, lead scoring criteria, social scheduling - these are real tasks that used to take a lot of (wo)man power, and automation handles them without the eye crossing. The value of marketing automation is repeatability. If the task is predictable and the conditions don't change, automation is exactly the right tool.
The ceiling of automation, though, is built into the definition. Automation does only what you anticipated when you built it. It has no awareness of the market or the context as to why you set it up in the first place. It can't notice that your industry just had major news, or that the tone you used last month needs to totally shift based on that market news, or that a new competitor has come out, with the same value proposition, and of course a lower price.
That's not a flaw of automation, it’s just a fact. The limitations come when teams expect automation to behave like something that can actually think.
What AI + Automation can do
What AI has added to the Marketing game (and of course other functions), is context, memory and even judgement, trained by you. This shows up in few ways when utilizing AI to support your marketing strategy:
Brand position. A general AI assistant like ChatGPT or Claude can help you write a solid email, but struggles to stay on tone by channel or by deliverable. As a standalone tool, it doesn't know what or why you published a blog or social post last week, how your audience responded to it, or what positioning decision you and your boss made that will adjust future campaign messaging.
Competitive and market context. Automation waits for a trigger. AI, on the other hand, doesn’t have to wait to be asked - it can monitor on its own and will notice when your search or page ranking drops, when conversion rate skyrockets or even when your brand is mentioned in an article that you may (or may not) want to build a link connection with. It can flag when a competitor posts on a new topic while there's still time to respond. It surfaces community conversations where your customers are already asking questions you haven't answered publicly. It brings in context that is more than “if/then” logic.
Memory. Automation will stall out when conditions don’t meet the exact criteria that was set up. AI - specifically agentic AI - can act on incomplete information, notice gaps, bring up and weigh trade-offs, and suggest a reasoned response about what to do next.
For a small team trying to build and maintain presence across search, social, email, and community mentions, simultaneously, the difference between AI and Automation is massive. Automation can execute your plan. AI can help you build a better plan and Agentic AI keeps it updated as things change.
The Question Now to Consider is AI or Automation?
Both tools have a cost associated, and both tools have a purpose. AI for context, monitoring, and memory and Automation for execution.
But having separate tools AI and Automation, where they don’t work together or layer on top of, each other actually creates more chaos for small marketing teams, founders and even consultants, who quite frankly know what they are doing, but are spending so much time jumping from one tool to another that they become master connectors, not master marketers.
Where Adze fits.
I talked a bit about why we built Adze, and that was to fill this gap I just identified above, and take it a step further. Adze is an AI marketing assistant built to hold context across every stage of the marketing loop. From brand and marketing listening, campaign planning, content creating, to execution and analytics, Adze keeps everything afloat, and ensures nothing gets missed or falls through the cracks.
Adze learns your business, your positioning, your audience, your voice, and your competitive landscape. It watches for opportunities. It prepares the work that matters by researching the search landscape, generating campaign briefs, writing drafts and executing on your distribution plans. It requires you to to chime in and let it know what your preferences are for the campaign angle and the distribution channel and takes your feedback and learns from it.
That last part is deliberate. We built Adze because we believe the marketer's judgment is the irreplaceable part. What Adze handles is everything else, the AI context, memory and judgement - but with you in the decision making process. The goal of Adze is to make sure you're spending your judgment on decisions that actually require it, rather than on the overhead of stitching together an eight-platform stack.
Adze is for small marketing teams, founders and fractional marketers who can't afford to hire a marketing coordinator to help with content development and tool management, but also can't afford to let marketing stall or fall behind competitors.
Automation executes the workflow. AI develops the content based on context. Adze does both.